That makes sense. I think this gives a lot of evidence then that there's something more than just an exploit against the rules going on. It looks like it can't evaluate pass-alive properly, even though that seems to be part of the training. I saw in the games some cases (even in the "professional level" version) where even two moves in a row is enough to capture something and change the human-judgment status of a group, and not particularly unusual local situations either, definitely things that could come up in a real game. I would be curious if it ever passes "early" in a way that changes the score (even if not the outcome) in its self-play games (after being trained). Or if its estimated value is off from what it should be. Perhaps for some reason it learns to play on the edge, so to speak, by throwing parts of its territory away when it doesn't need it to still win, and that leads to the lack of robustness here where it throws away territory it really does need.